---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- nsmc
model-index:
- name: klue-bert-finetuned-nsmc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# klue-bert-finetuned-nsmc

This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the nsmc dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2402
- eval_accuracy: 0.9029
- eval_f1: 0.9029
- eval_runtime: 343.6707
- eval_samples_per_second: 145.488
- eval_steps_per_second: 4.548
- epoch: 1.0
- step: 4688

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Framework versions

- Transformers 4.13.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.10.3